Essays about: "Propagation Modelling"
Showing result 1 - 5 of 69 essays containing the words Propagation Modelling.
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1. Multi-Parameter Modelling of Surface Electromyography Data
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. READ MORE
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2. Wildfire growth modelling in Sweden - a suitability assessment of available data
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Wildfires are worldwide problems that stress societies by damaging their economies and they cause serious, sometimes fatal, health implications among the populations. In recent years, the rate of wildfire occurrence has increased as the global average temperature has risen. Because of global climate change, this rate is expected to continue rising. READ MORE
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3. Modelling Long Term Memory in the Bayesian Confidence Neural Network Model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Memory is a fascinating and complex part of human life. Understanding memory and simulating itthrough modelling can help society take steps towards understanding health issues such asAlzheimer's, dementia and amnesia. READ MORE
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4. Learning in physics with simulation : Students’ needs & perceptions of the interaction with Algodoo, and learning in physics
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Initiatives to implement computational thinking and science, technology, engineering & modelling into learning processes have been taken by many authorities worldwide, and in Sweden as well. The Swedish government made changes in the high school curriculum in order to develop student’s digital competence including programming which has been in force since June 2018 (Skolverket, 2018). READ MORE
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5. Modelling synaptic rewiring in brain-like neural networks for representation learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research investigated the concept of a sparsity method inspired by the principles of structural plasticity in the brain in order to create a sparse model of the Bayesian Confidence Propagation Neural Networks (BCPNN) during the training phase. This was done by extending the structural plasticity in the implementation of the BCPNN. READ MORE